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This project aims to develop a system for recognizing letters in sign language. The aim is to create a machine learning model capable of accurately identifying and classifying letters based on input images.

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TheoHorn/sign_recognition

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Sign language letter recognition

Description

This project aims to develop a system for recognizing letters in sign language. The aim is to create a machine learning model capable of accurately identifying and classifying letters based on input images.

Model training

python3 src/model.py

Model evaluation

python3 src/model_evaluation.py

Run demo

python3 src/demo.py

For details of how the model and options work, see [src/model.md].

Contact

If you have any questions or queries, please contact [theo.hornberger@telecomnancy.eu], [mathias.aurand-augier@telecomnancy.eu] and [terry.tempestini@telecomnancy.eu].

Reconnaissance des lettres de la langue des signes

Description

Ce projet vise à développer un système de reconnaissance des lettres dans la langue des signes. L'objectif est de créer un modèle d'apprentissage automatique capable d'identifier et de classer avec précision les lettres en fonction des images d'entrée.

Entraînement du modèle

python3 src/model.py

Evaluation du modèle

python3 src/model_evaluation.py

Exécution de la démo

python3 src/demo.py

Pour plus de précisions sur le fonctionnement du modèle et des options, voir [src/model.md].

Contact

Pour toute question ou demande de renseignements, veuillez contacter [theo.hornberger@telecomnancy.eu], [mathias.aurand-augier@telecomnancy.eu] et [terry.tempestini@telecomnancy.eu].

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This project aims to develop a system for recognizing letters in sign language. The aim is to create a machine learning model capable of accurately identifying and classifying letters based on input images.

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